Selective ยท Watchlist
Vertical AI winners survive model commoditization
The strongest AI application companies own a specific workflow, buyer, data loop, or labor-replacement wedge that still matters after model prices fall.
Why vertical beats horizontal
Horizontal productivity products collide with the foundation labs quickly. Vertical products can defend themselves with domain workflow, buyer trust, specialized data, regulation, distribution, and outcome-based pricing.
The survivor profile
The best candidates replace expensive labor or own a repeated workflow where the model is only one component. They can survive a 90 percent drop in model API cost because their value is not model access.
What anti-ai.app should track
Track whether these companies keep pricing power as frontier models improve. A vertical AI company is not safe forever; it is safe only while the workflow, data, or channel remains hard to bundle.
Signals to watch
- Labor-cost pricing: The product is priced against work replaced or outcome achieved, not token volume or a generic seat.
- Workflow data loop: Usage creates domain-specific data or process advantage that a general assistant does not immediately inherit.
- Buyer-specific trust: The category has compliance, reputation, or operational stakes that favor specialized vendors.
Representative companies
These are examples of the category pressure or survivor pattern, not a claim that the companies have failed.
- Midjourney (midjourney.com)
- Photoroom (photoroom.com)
- Clio (clio.com)
- Carbon Robotics (carbonrobotics.com)